Pickl AI

APRIL 9, 2025

Introduction In todays data-driven world, organizations are overwhelmed with vast amounts of information. By 2025, global data volumes are expected to reach 181 zettabytes, according to IDC. ETL stands for Extract, Transform, and Loada process designed for data integration and warehousing.

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ETL Data Warehouse AWS Business Intelligence 52

IBM Journey to AI blog

OCTOBER 30, 2023

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market.

AWS 95

AWS AI AI Data Warehouse 95

Pickl AI

DECEMBER 9, 2024

Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 Whether its stock market transactions or live streaming data from sensors, Big Data operates in real-time or near-real-time environments. What is Apache Hive?

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

IBM Journey to AI blog

JULY 24, 2024

Organizations are increasingly adopting hybrid cloud solutions that blend the strengths of private and public clouds, particularly beneficial in data-intensive sectors and companies embarking on AI strategy to fuel growth. The integration with established data warehouse engines ensures compatibility with existing systems and workflows.

Data Governance 69

Data Governance Data Warehouse Data Preparation Analytics 69

IBM Journey to AI blog

JULY 3, 2024

The quality and quantity of data can make or break AI success, and organizations that effectively harness and manage their data will reap the most benefits. Data is exploding, both in volume and in variety. This ensures you have a data foundation that grows with your data needs, wherever your data resides.

AI 45

AI AI Data Quality Database 45

Pickl AI

NOVEMBER 4, 2024

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

DECEMBER 10, 2024

Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. These cutting-edge solutions optimise analytics, middleware, and database performance , enabling businesses to achieve unparalleled efficiency and scalability.

Database 52

Database Analytics Analytics Business Intelligence 52

O'Reilly Media

APRIL 17, 2025

In 2025, the challenge will be turning those agendas into reality. 9:56 : You might also have a data engineering team that uses this and turns PDF files into something like a data warehouse that people can query. 10:49 : People actually use DocETL to create a table out of PDFs and put it in a relational database.

AI 52

AI AI Data Warehouse Data Pipeline 52

Pickl AI

JANUARY 21, 2025

Summary: This blog delves into the various types of data warehouses, including Enterprise Data Warehouses, Operational Data Stores, Data Marts, Cloud Data Warehouses, and Big Data Warehouses. Key Takeaways Data warehouses consolidate diverse data for strategic decision-making.

Data Warehouse 52

Data Warehouse Big Data Big Data Cloud Data 52